/*=========================================================================

  Program:   Slicer
  Language:  C++
  Module:    $HeadURL$
  Date:      $Date$
  Version:   $Revision$

  Copyright (c) Brigham and Women's Hospital (BWH) All Rights Reserved.

  See License.txt or http://www.slicer.org/copyright/copyright.txt for details.

==========================================================================*/

// ITK includes
#include <itkBSplineDeformableTransform.h>
#include <itkCompositeTransform.h>
#include <itkImageFileReader.h>
#include <itkImageFileWriter.h>
#include <itkMetaDataObject.h>
#include <itkNearestNeighborInterpolateImageFunction.h>
#include <itkResampleImageFilter.h>
#include <itkBSplineInterpolateImageFunction.h>
#include <itkRigid3DTransform.h>
#include <itkThinPlateSplineKernelTransform.h>
#include <itkTransformFileReader.h>
#include <itkVectorResampleImageFilter.h>
#include <itkWindowedSincInterpolateImageFunction.h>
#include <itkConstantBoundaryCondition.h>
#include <itkTransformFactory.h>

// ResampleScalarVectorDWIVolume includes
#include "ResampleScalarVectorDWIVolumeCLP.h"

// ResampleDTIVolume includes
#include "dtiprocessFiles/deformationfieldio.h"
#include "itkTransformDeformationFieldFilter.h"
#include "itkWarpTransform3D.h"

// STD includes

// Use an anonymous namespace to keep class types and function names
// from colliding when module is used as shared object module.  Every
// thing should be in an anonymous namespace except for the module
// entry point, e.g. main()
//
namespace
{

#define RADIUS 3

struct parameters
{
  int numberOfThread;
  std::string interpolationType;
  std::string transformType;
  std::vector<double> transformMatrix;
  std::string inputVolume;
  std::string outputVolume;
  std::string referenceVolume;
  std::vector<float> rotationPoint;
  std::string transformationFile;
  bool inverseITKTransformation;
  std::string windowFunction;
  unsigned int splineOrder;
  bool space;
  bool centeredTransform;
  std::vector<double> outputImageSpacing;
  std::vector<double> outputImageSize;
  std::vector<float> outputImageOrigin;
  std::vector<double> directionMatrix;
  std::string deffield;
  std::string typeOfField;
  double defaultPixelValue;
  std::string imageCenter;
  std::string transformsOrder;
  bool notbulk;
};

// To check the image voxel type
void GetImageType(std::string fileName, itk::IOPixelEnum& pixelType, itk::IOComponentEnum& componentType)
{
  typedef itk::Image<unsigned char, 3> ImageType;
  itk::ImageFileReader<ImageType>::Pointer imageReader;
  imageReader = itk::ImageFileReader<ImageType>::New();
  imageReader->SetFileName(fileName.c_str());
  imageReader->UpdateOutputInformation();
  pixelType = imageReader->GetImageIO()->GetPixelType();
  componentType = imageReader->GetImageIO()->GetComponentType();
}

// Copy rigid or affine transform to list.transformMatrix
template <class PixelType>
void SetListFromTransform(const typename itk::MatrixOffsetTransformBase<PixelType, 3, 3>::Pointer& transform, parameters& list)
{
  for (int i = 0; i < 3; i++)
  {
    for (int j = 0; j < 3; j++)
    {
      list.transformMatrix.push_back((double)transform->GetMatrix()[i][j]);
    }
  }
  for (int i = 0; i < 3; i++)
  {
    list.transformMatrix.push_back((double)transform->GetTranslation()[i]);
    list.rotationPoint.push_back((double)transform->GetCenter()[i]);
  }
}

template <class ImageType>
itk::Point<double> ImageCenter(const typename ImageType::Pointer& image)
{
  typename itk::Index<3> index;
  itk::Size<3> sizeim = image->GetLargestPossibleRegion().GetSize();
  itk::Point<double, 3> point;
  itk::Point<double, 3> pointOpposite;
  itk::Point<double> center;
  for (int i = 0; i < 3; i++)
  {
    index[i] = 0;
  }
  image->TransformIndexToPhysicalPoint(index, point);
  for (int i = 0; i < 3; i++)
  {
    index[i] = sizeim[i] - 1;
  }
  image->TransformIndexToPhysicalPoint(index, pointOpposite);
  for (int i = 0; i < 3; i++)
  {
    center[i] = (point[i] + pointOpposite[i]) / 2;
  }
  return center;
}

template <class ImageType>
itk::Matrix<double, 4, 4> ComputeTransformMatrix(const parameters& list, const typename ImageType::Pointer& image, const itk::Point<double>& outputImageCenter)
{
  itk::Matrix<double, 4, 4> transformMatrix4x4;
  transformMatrix4x4.SetIdentity();
  itk::Point<double> center;
  itk::Vector<double> translation;
  itk::Vector<double> offset;
  // if centered transform set, ignore the transformation center
  // set before and use the center of the image instead
  if (list.centeredTransform)
  {
    if (!list.imageCenter.compare("input"))
    {
      center = ImageCenter<ImageType>(image);
    }
    else
    {
      center = outputImageCenter;
    }
  }
  else
  {
    for (int i = 0; i < 3; i++)
    {
      center[i] = list.rotationPoint[i];
    }
  }
  // Set the transform matrix
  for (int i = 0; i < 3; i++)
  {
    translation[i] = (double)list.transformMatrix[9 + i];
    offset[i] = translation[i] + center[i];
    for (int j = 0; j < 3; j++)
    {
      transformMatrix4x4[i][j] = (double)list.transformMatrix[i * 3 + j];
      offset[i] -= transformMatrix4x4[i][j] * center[j];
    }
    // Compute the 4th column of the matrix
    transformMatrix4x4[i][3] = offset[i];
  }
  // If set, inverse the given transform.
  // The given transform therefore transform the input image into the output image
  if (list.inverseITKTransformation)
  {
    transformMatrix4x4 = transformMatrix4x4.GetInverse();
  }
  /*  //If the transform is in RAS, transform it in LPS
    if (list.space  && !list.transformationFile.compare( "" ))
    {
      itk::Matrix< double , 4 , 4 > ras ;
      ras.SetIdentity() ;
      ras[ 0 ][ 0 ] = -1 ;
      ras[ 1 ][ 1 ] = -1 ;
      transformMatrix4x4 = ras * transformMatrix4x4 * ras ;
  }*/
  return transformMatrix4x4;
}

// Center or/and invert the affine/rigid transform if this option was selected
template <class ImageType>
typename itk::Transform<double, 3, 3>::Pointer SetUpTransform(parameters& list,
                                                              const typename ImageType::Pointer& image,
                                                              typename itk::Transform<double, 3, 3>::Pointer transform,
                                                              const itk::Point<double>& outputImageCenter)
{
  typedef itk::AffineTransform<double, 3> AffineTransformType;
  typedef itk::MatrixOffsetTransformBase<double> RotationType;
  itk::Matrix<double, 3, 3> transformMatrix;
  itk::Vector<double, 3> vec;
  if (list.transformType.compare("nr")) // if rigid or affine transform
  {
    itk::Matrix<double, 4, 4> transformMatrix4x4;
    transformMatrix4x4 = ComputeTransformMatrix<ImageType>(list, image, outputImageCenter);
    for (int i = 0; i < 3; i++)
    {
      for (int j = 0; j < 3; j++)
      {
        transformMatrix[i][j] = transformMatrix4x4[i][j];
      }
      vec[i] = transformMatrix4x4[i][3];
    }
    if (!list.transformType.compare("rt")) // Rotation around a selected point
    {
      try
      {
        typename RotationType::Pointer rotation = RotationType::New();
        rotation->SetMatrix(transformMatrix);
        rotation->SetTranslation(vec);
        transform = rotation;
      }
      catch (itk::ExceptionObject& exp)
      {
        std::string exception = exp.GetDescription();
        if (exception.find("Attempting to set a non-orthogonal rotation matrix") != std::string::npos)
        {
          list.transformType = "a";
          std::cerr << "Non-orthogonal rotation matrix: uses affine transform" << std::endl;
        }
        else
        {
          return nullptr;
        }
      }
    }
    if (!list.transformType.compare("a")) // Affine transform
    {
      typename AffineTransformType::Pointer affine = AffineTransformType::New();
      affine->SetMatrix(transformMatrix);
      affine->SetTranslation(vec);
      transform = affine;
    }
  }
  return transform;
}

// ITK does not initialize TPS transforms properly when they are read from file.
// tpsTransform->ComputeWMatrix() has to be called after the transform is read but
//  before the transform is used, otherwise the application crashes.
void InitializeThinPlateSplineTransform(itk::Transform<double, 3, 3>::Pointer transform)
{
  std::string transformClassName = transform->GetNameOfClass();
  if (transformClassName == "ThinPlateSplineKernelTransform")
  {
    typedef itk::ThinPlateSplineKernelTransform<double, 3> ThinPlateSplineTransformType;
    ThinPlateSplineTransformType* tpsTransform = static_cast<ThinPlateSplineTransformType*>(transform.GetPointer());
    tpsTransform->ComputeWMatrix();
  }
  else if (transformClassName == "CompositeTransform")
  {
    typedef itk::CompositeTransform<double, 3> CompositeTransformType;
    CompositeTransformType* compositeTransform = static_cast<CompositeTransformType*>(transform.GetPointer());
    for (unsigned int i = 0; i < compositeTransform->GetNumberOfTransforms(); ++i)
    {
      InitializeThinPlateSplineTransform(compositeTransform->GetNthTransform(i));
    }
  }
}

// Set the transformation
template <class ImageType>
typename itk::Transform<double, 3, 3>::Pointer SetTransformAndOrder(parameters& list,
                                                                    const typename ImageType::Pointer& image,
                                                                    typename itk::Transform<double, 3, 3>::Pointer transform,
                                                                    const itk::Point<double>& outputImageCenter)
{
  typedef itk::AffineTransform<double, 3> AffineTransformType;
  if (list.transformationFile.compare("")) // Get transformation matrix from command line if no file given
  {
    std::string transformClassName = transform->GetNameOfClass();
    list.transformMatrix.resize(0);
    list.rotationPoint.resize(0);
    typename itk::MatrixOffsetTransformBase<double, 3, 3>::Pointer matrixOffsetTransform;
    if (transformClassName.find("AffineTransform") != std::string::npos) // if affine transform
    {
      matrixOffsetTransform = static_cast<AffineTransformType*>(transform.GetPointer());
      list.transformType.assign("a");
      SetListFromTransform<double>(matrixOffsetTransform, list);
    }
    else
    {
      // Check if transform is not of type "Rigid3DTransform"
      if (transformClassName == "Rigid3DTransform" ||           //
          transformClassName == "Euler3DTransform" ||           //
          transformClassName == "CenteredEuler3DTransform" ||   //
          transformClassName == "QuaternionRigidTransform" ||   //
          transformClassName == "VersorTransform" ||            //
          transformClassName == "ScaleSkewVersor3DTransform" || //
          transformClassName == "ScaleVersor3DTransform" ||     //
          transformClassName == "Similarity3DTransform")        // if rigid3D transform
      {
        list.transformType.assign("rt");
        matrixOffsetTransform = static_cast<itk::Rigid3DTransform<double>*>(transform.GetPointer());
        SetListFromTransform<double>(matrixOffsetTransform, list);
      }
      else // if non-rigid
      {

        // Workaround: prevent ITK from crashing when the transform contains TPS transform
        InitializeThinPlateSplineTransform(transform.GetPointer());

        if (transformClassName.find("Transform") != std::string::npos)
        { // if non rigid Transform loaded
          list.transformType.assign("nr");
        }
        else // something else
        {
          std::cerr << "Transformation type not yet implemented" << std::endl;
          return nullptr;
        }
      }
    }
    if (list.transformType.compare("nr")) // if rigid or affine transform
    {
      // if problem in the number of parameters
      if (list.transformMatrix.size() != 12 || list.rotationPoint.size() != 3)
      {
        std::cerr << "Error in the file containing the matrix transformation" << std::endl;
        return nullptr;
      }
    }
  }
  return SetUpTransform<ImageType>(list, image, transform, outputImageCenter);
}

// Set the transformation
template <class ImageType>
typename itk::Transform<double, 3, 3>::Pointer SetTransform(parameters& list,
                                                            const typename ImageType::Pointer& image,
                                                            itk::TransformFileReader::Pointer& transformFile,
                                                            const itk::Point<double>& outputImageCenter)
{
  typedef itk::Transform<double, 3, 3> TransformType;
  typename TransformType::Pointer transform = nullptr;
  if (list.transformationFile.compare("")) // Get transformation matrix from command line if no file given
  {
    if (!list.transformsOrder.compare("input-to-output"))
    {
      transform = static_cast<TransformType*>(transformFile->GetTransformList()->back().GetPointer());
    }
    else
    {
      transform = static_cast<TransformType*>(transformFile->GetTransformList()->front().GetPointer());
    }
  }
  transform = SetTransformAndOrder<ImageType>(list, image, transform, outputImageCenter);
  if (list.transformationFile.compare("")) // Get transformation matrix from command line if no file given
  {
    if (!list.transformsOrder.compare("input-to-output"))
    {
      transformFile->GetModifiableTransformList()->pop_back();
    }
    else
    {
      transformFile->GetModifiableTransformList()->pop_front();
    }
  }
  return transform;
}

// Read the transform file and return the number of non-rigid transform.
// If the transform file contain a transform that the program does not
// handle, the function returns -1
template <class ImageType>
int ReadTransform(parameters& list, const typename ImageType::Pointer& image, itk::TransformFileReader::Pointer& transformFile)
{
  int numberOfNonRigidTransform = 0;

  itk::Point<double> dummyOutputCenter;
  dummyOutputCenter.Fill(0);
  if (list.transformationFile.compare(""))
  {
    transformFile = itk::TransformFileReader::New();
    transformFile->SetFileName(list.transformationFile.c_str());
    transformFile->Update();

    // Check if any of the transform is not supported and counts the number of non-rigid transform
    do
    {
      if (!SetTransform<ImageType>(list, image, transformFile, dummyOutputCenter))
      {
        return -1;
      }
      if (!list.transformType.compare("nr"))
      {
        numberOfNonRigidTransform++;
      }
    } while (transformFile->GetTransformList()->size());

    transformFile->Update();
    return numberOfNonRigidTransform;
  }
  return 0;
}

// resamples field to output image size; local filter so that the memory is freed once it has run
void ResampleDeformationField(DeformationImageType::Pointer& field,
                              const itk::Point<double, 3>& origin,
                              const itk::Vector<double, 3>& spacing,
                              const itk::Size<3>& size,
                              const itk::Matrix<double, 3, 3>& direction)
{
  // Check if the field does not already have the same properties as the output image:
  // It would save some time if we did not have to resample the field
  itk::Point<double, 3> fieldOrigin;
  itk::Vector<double, 3> fieldSpacing;
  itk::Size<3> fieldSize;
  itk::Matrix<double, 3, 3> fieldDirection;
  fieldOrigin = field->GetOrigin();
  fieldSpacing = field->GetSpacing();
  fieldSize = field->GetLargestPossibleRegion().GetSize();
  fieldDirection = field->GetDirection();
  if (fieldSize == size              //
      && fieldSpacing == spacing     //
      && fieldDirection == direction //
      && fieldOrigin == origin       //
  )
  {
    return;
  }
  typedef itk::VectorLinearInterpolateImageFunction<DeformationImageType> VectorInterpolatorType;
  VectorInterpolatorType::Pointer linearVectorInterpolator = VectorInterpolatorType::New();
  typedef itk::VectorResampleImageFilter<DeformationImageType, DeformationImageType, double> ResampleImageFilter;
  ResampleImageFilter::Pointer resampleFieldFilter = ResampleImageFilter::New();
  DeformationPixelType defaultPixel;
  defaultPixel.Fill(0.0);
  resampleFieldFilter->SetDefaultPixelValue(defaultPixel);
  resampleFieldFilter->SetInput(field);
  resampleFieldFilter->SetInterpolator(linearVectorInterpolator);
  resampleFieldFilter->SetOutputDirection(direction);
  resampleFieldFilter->SetSize(size);
  resampleFieldFilter->SetOutputSpacing(spacing);
  resampleFieldFilter->SetOutputOrigin(origin);
  resampleFieldFilter->Update();
  field = resampleFieldFilter->GetOutput();
}

// Loads the transforms and merge them into only one transform
template <class ImageType>
itk::Transform<double, 3, 3>::Pointer SetAllTransform(parameters& list,
                                                      typename itk::ResampleImageFilter<ImageType, ImageType>::Pointer resampler,
                                                      typename ImageType::Pointer image)
{
  typedef itk::Transform<double, 3, 3> TransformType;
  typedef itk::AffineTransform<double, 3> AffineTransformType;
  typename DeformationImageType::Pointer fieldPointer;
  typedef itk::TransformFileReader::Pointer TransformReaderPointer;
  TransformReaderPointer transformFile;
  int nonRigidTransforms = 0;
  nonRigidTransforms = ReadTransform<ImageType>(list, image, transformFile);
  if (nonRigidTransforms < 0) // The transform file contains a transform that is not handled by ResampleVolume2, it
                              // exits.
  {
    return nullptr;
  }
  if (list.deffield.compare(""))
  {
    // set if the field is a displacement or a h- field
    DeformationFieldType dftype = HField;
    if (!list.typeOfField.compare("displacement"))
    {
      dftype = Displacement;
    }
    // reads deformation field and if it is a h-field, it transforms it to a displacement field
    fieldPointer = readDeformationField(list.deffield, dftype);
    nonRigidTransforms++;
  }
  TransformType::Pointer transform;
  // typename ImageType::PointType originOutput ;
  // typename ImageType::SpacingType spacingOutput ;
  // typename ImageType::SizeType sizeOutput ;
  // typename ImageType::DirectionType directionOutput ;
  typename ImageType::Pointer dummyOutputImage = ImageType::New();
  dummyOutputImage->SetDirection(resampler->GetOutputDirection());
  dummyOutputImage->SetSpacing(resampler->GetOutputSpacing());
  dummyOutputImage->SetOrigin(resampler->GetOutputOrigin());
  dummyOutputImage->SetRegions(resampler->GetSize());
  itk::Point<double> outputImageCenter = ImageCenter<ImageType>(dummyOutputImage);
  // If more than one transform or if hfield, add all transforms and compute the deformation field
  if ((list.transformationFile.compare("")              //
       && transformFile->GetTransformList()->size() > 1 //
       && nonRigidTransforms > 0                        //
       )                                                //
      || list.deffield.compare("")                      //
  )
  {
    // Create warp transform
    typedef itk::WarpTransform3D<double> WarpTransformType;
    typename WarpTransformType::Pointer warpTransform = WarpTransformType::New();
    typename DeformationImageType::Pointer field;
    if (list.deffield.compare(""))
    {
      field = fieldPointer;
      // Resample the deformation field so that it has the same properties as the output image we want to compute
      ResampleDeformationField(field, resampler->GetOutputOrigin(), resampler->GetOutputSpacing(), resampler->GetSize(), resampler->GetOutputDirection());
    }
    else // if no deformation field was loaded, we create an empty one
    {
      field = DeformationImageType::New();
      field->SetSpacing(resampler->GetOutputSpacing());
      field->SetOrigin(resampler->GetOutputOrigin());
      field->SetRegions(resampler->GetSize());
      field->SetDirection(resampler->GetOutputDirection());
      field->Allocate();
      DeformationPixelType vectorNull;
      vectorNull.Fill(0.0);
      field->FillBuffer(vectorNull);
    }
    // Compute the transformation field adding all the transforms together
    while (list.transformationFile.compare("") && transformFile->GetTransformList()->size())
    {
      typedef itk::TransformDeformationFieldFilter<double, double, 3> itkTransformDeformationFieldFilterType;
      typename itkTransformDeformationFieldFilterType::Pointer transformDeformationFieldFilter = itkTransformDeformationFieldFilterType::New();
      transform = SetTransform<ImageType>(list, image, transformFile, outputImageCenter);
      // check if there is a bspline transform and a bulk transform with it
      if (!list.notbulk && transform->GetTransformTypeAsString() == "BSplineDeformableTransform_double_3_3" && //
          transformFile->GetTransformList()->size())                                                           //
                                                                                                               // Check
                                                                                                               // if
                                                                                                               // transform
                                                                                                               // file
                                                                                                               // contains
                                                                                                               // a
                                                                                                               // BSpline
      {
        // order=3 for the BSpline seems to be standard among tools in Slicer3 and BRAINTools
        typedef itk::BSplineDeformableTransform<double, 3, 3> BSplineDeformableTransformType;
        BSplineDeformableTransformType::Pointer BSplineTransform;
        BSplineTransform = static_cast<BSplineDeformableTransformType*>(transform.GetPointer());
        typename TransformType::Pointer bulkTransform;
        bulkTransform = SetTransform<ImageType>(list, image, transformFile, outputImageCenter);
        BSplineTransform->SetBulkTransform(bulkTransform);
      }
      if (list.numberOfThread)
      {
        transformDeformationFieldFilter->SetNumberOfWorkUnits(list.numberOfThread);
      }
      transformDeformationFieldFilter->SetInput(field);
      transformDeformationFieldFilter->SetTransform(transform);
      transformDeformationFieldFilter->Update();
      field = transformDeformationFieldFilter->GetOutput();
      field->DisconnectPipeline();
    }

    // Create the transform
    warpTransform->SetDeformationField(field);
    transform = warpTransform;
  }
  // multiple rigid/affine transforms: concatenate them
  else if (list.transformationFile.compare("") && transformFile->GetTransformList()->size() > 1)
  {
    typedef itk::MatrixOffsetTransformBase<double, 3, 3> MatrixTransformType;
    itk::Matrix<double, 4, 4> composedMatrix;
    composedMatrix.SetIdentity();
    itk::Matrix<double, 4, 4> tempMatrix;
    itk::Matrix<double, 3, 3> matrix;
    itk::Vector<double, 3> vector;
    composedMatrix.SetIdentity();

    do
    {
      transform = SetTransform<ImageType>(list, image, transformFile, outputImageCenter);
      std::string transformClassName;
      if (transform.IsNotNull())
      {
        transformClassName = transform->GetNameOfClass();
      }
      // Check if transform is NOT of type "MatrixOffsetTransformBase<double, 3, 3>"
      // (itself typedef as "MatrixTransformType")
      if (!(transformClassName.find("AffineTransform") != std::string::npos || //
            transformClassName == "MatrixOffsetTransformBase" ||               //
            transformClassName == "Rigid3DTransform" ||                        //
            transformClassName == "Euler3DTransform" ||                        //
            transformClassName == "CenteredEuler3DTransform" ||                //
            transformClassName == "QuaternionRigidTransform" ||                //
            transformClassName == "VersorTransform" ||                         //
            transformClassName == "VersorRigid3DTransform" ||                  //
            transformClassName == "ScaleSkewVersor3DTransform" ||              //
            transformClassName == "ScaleVersor3DTransform" ||                  //
            transformClassName == "Similarity3DTransform" ||                   //
            transformClassName == "ScaleTransform" ||                          //
            transformClassName == "ScaleLogarithmicTransform"))                // should never happen, just for security
      {
        std::cerr << "An affine or rigid transform was not convertible to itk::MatrixOffsetTransformBase< double , 3 , 3 >" << std::endl;
        return nullptr;
      }
      typename MatrixTransformType::Pointer localTransform;
      localTransform = static_cast<MatrixTransformType*>(transform.GetPointer());
      matrix = localTransform->GetMatrix();
      vector = localTransform->GetTranslation();
      tempMatrix.SetIdentity();
      for (int i = 0; i < 3; i++)
      {
        for (int j = 0; j < 3; j++)
        {
          tempMatrix[i][j] = matrix[i][j];
        }
        tempMatrix[i][3] = vector[i];
      }
      tempMatrix *= composedMatrix;
      composedMatrix = tempMatrix;
    } while (transformFile->GetTransformList()->size());

    typename AffineTransformType::Pointer affine = AffineTransformType::New();
    // copy 4x4 matrix into a 3x3 matrix and a vector ;
    for (int i = 0; i < 3; i++)
    {
      for (int j = 0; j < 3; j++)
      {
        matrix[i][j] = composedMatrix[i][j];
      }
      vector[i] = composedMatrix[i][3];
    }
    affine->SetMatrix(matrix);
    affine->SetTranslation(vector);
    transform = affine;
  }
  else
  {
    // only one transform, just load it
    transform = SetTransform<ImageType>(list, image, transformFile, outputImageCenter);
  }
  return transform;
}

// Write back the vector of images into a image vector
template <class PixelType>
int AddImage(typename itk::VectorImage<PixelType, 3>::Pointer& imagePile, const std::vector<typename itk::Image<PixelType, 3>::Pointer>& vectorImage)
{
  typedef itk::Image<PixelType, 3> ImageType;
  imagePile->SetRegions(vectorImage.at(0)->GetLargestPossibleRegion().GetSize());
  imagePile->SetOrigin(vectorImage.at(0)->GetOrigin());
  imagePile->SetDirection(vectorImage.at(0)->GetDirection());
  imagePile->SetSpacing(vectorImage.at(0)->GetSpacing());
  imagePile->SetVectorLength(vectorImage.size());
  imagePile->Allocate();
  typename itk::ImageRegionIterator<itk::VectorImage<PixelType, 3>> out(imagePile, imagePile->GetLargestPossibleRegion());
  typedef typename itk::ImageRegionIterator<ImageType> IteratorImageType;
  std::vector<IteratorImageType> in;
  for (unsigned int i = 0; i < imagePile->GetVectorLength(); i++)
  {
    IteratorImageType intemp(vectorImage.at(i), vectorImage.at(i)->GetLargestPossibleRegion());
    intemp.GoToBegin();
    in.push_back(intemp);
  }
  itk::VariableLengthVector<PixelType> value;
  value.SetSize(vectorImage.size());
  for (out.GoToBegin(); !out.IsAtEnd(); ++out)
  {
    for (unsigned int i = 0; i < imagePile->GetVectorLength(); i++)
    {
      value.SetElement(i, in.at(i).Get());
      ++in[i];
    }
    out.Set(value);
  }
  return EXIT_SUCCESS;
}

// Separate the vector image into a vector of images
template <class PixelType>
int SeparateImages(const typename itk::VectorImage<PixelType, 3>::Pointer& imagePile, std::vector<typename itk::Image<PixelType, 3>::Pointer>& vectorImage)
{
  typedef itk::Image<PixelType, 3> ImageType;
  typedef itk::VectorImage<PixelType, 3> VectorImageType;
  typename itk::VectorImage<PixelType, 3>::SizeType size;
  typename itk::VectorImage<PixelType, 3>::DirectionType direction;
  typename itk::VectorImage<PixelType, 3>::PointType origin;
  typename itk::VectorImage<PixelType, 3>::SpacingType spacing;
  size = imagePile->GetLargestPossibleRegion().GetSize();
  direction = imagePile->GetDirection();
  origin = imagePile->GetOrigin();
  spacing = imagePile->GetSpacing();
  typename itk::ImageRegionIterator<VectorImageType> in(imagePile, imagePile->GetLargestPossibleRegion());
  typedef typename itk::ImageRegionIterator<ImageType> IteratorImageType;
  std::vector<IteratorImageType> out;
  for (unsigned int i = 0; i < imagePile->GetVectorLength(); i++)
  {
    typename ImageType::Pointer imageTemp = ImageType::New();
    imageTemp->SetRegions(size);
    imageTemp->SetOrigin(origin);
    imageTemp->SetDirection(direction);
    imageTemp->SetSpacing(spacing);
    imageTemp->Allocate();
    vectorImage.push_back(imageTemp);
    IteratorImageType outtemp(imageTemp, imageTemp->GetLargestPossibleRegion());
    outtemp.GoToBegin();
    out.push_back(outtemp);
  }
  for (in.GoToBegin(); !in.IsAtEnd(); ++in)
  {
    itk::VariableLengthVector<PixelType> value = in.Get();
    for (unsigned int i = 0; i < imagePile->GetVectorLength(); i++)
    {
      out[i].Set(value[i]);
      ++out[i];
    }
  }
  return EXIT_SUCCESS;
}

// Verify if some input parameters are null
bool VectorIsNul(std::vector<double> vec)
{
  bool zero = true;

  for (::size_t i = 0; i < vec.size(); i++)
  {
    if (vec[i] != 0)
    {
      zero = false;
    }
  }
  return zero;
}

// Set resampler's output parameters
template <class ImageType>
void SetOutputParameters(const parameters& list, typename itk::ResampleImageFilter<ImageType, ImageType>::Pointer& resampler, typename ImageType::Pointer& image)
{
  typedef itk::ImageFileReader<ImageType> FileReaderType;
  typedef itk::ResampleImageFilter<ImageType, ImageType> ResamplerType;
  typename FileReaderType::Pointer readerReference;
  // is there a reference image to set the size, the orientation,
  // the spacing and the origin of the output image
  if (list.referenceVolume.compare(""))
  {
    readerReference = FileReaderType::New();
    readerReference->SetFileName(list.referenceVolume.c_str());
    readerReference->Update();
    if (list.space) // && list.transformationFile.compare( "" ))
    {
      typename ImageType::PointType originReference;
      typename ImageType::DirectionType directionReference;
      originReference = readerReference->GetOutput()->GetOrigin();
      directionReference = readerReference->GetOutput()->GetDirection();
      originReference[0] = -originReference[0];
      originReference[1] = -originReference[1];
      itk::Matrix<double, 3, 3> ras;
      ras.SetIdentity();
      ras[0][0] = -1;
      ras[1][1] = -1;
      directionReference = ras * directionReference;
      readerReference->GetOutput()->SetOrigin(originReference);
      readerReference->GetOutput()->SetDirection(directionReference);
    }
  }
  resampler->SetOutputParametersFromImage(image);
  typename ResamplerType::OutputImageType::SpacingType m_Spacing;
  typename ResamplerType::OutputImageType::PointType m_Origin;
  typename ResamplerType::OutputImageType::DirectionType m_Direction;
  typename ResamplerType::OutputImageType::SizeType m_Size;
  if (VectorIsNul(list.outputImageSpacing))
  {
    if (list.referenceVolume.compare(""))
    {
      m_Spacing = readerReference->GetOutput()->GetSpacing();
    }
    else
    {
      m_Spacing = image->GetSpacing();
    }
  }
  else
  {
    for (int i = 0; i < 3; i++)
    {
      m_Spacing[i] = list.outputImageSpacing[i];
    }
  }
  if (VectorIsNul(list.outputImageSize))
  {
    if (list.referenceVolume.compare(""))
    {
      m_Size = readerReference->GetOutput()->GetLargestPossibleRegion().GetSize();
    }
    else
    {
      m_Size = image->GetLargestPossibleRegion().GetSize();
    }
  }
  else
  {
    for (int i = 0; i < 3; i++)
    {
      m_Size[i] = (unsigned long)list.outputImageSize[i];
    }
  }
  if (list.outputImageOrigin.size() == 0)
  {
    if (list.referenceVolume.compare(""))
    {
      m_Origin = readerReference->GetOutput()->GetOrigin();
    }
    else
    {
      m_Origin = image->GetOrigin();
    }
  }
  else
  {
    for (int i = 0; i < 3; i++)
    {
      m_Origin[i] = list.outputImageOrigin[i];
    }
  }
  if (VectorIsNul(list.directionMatrix))
  {
    if (list.referenceVolume.compare(""))
    {
      m_Direction = readerReference->GetOutput()->GetDirection();
    }
    else
    {
      m_Direction = image->GetDirection();
    }
  }
  else
  {
    for (int i = 0; i < 3; i++)
    {
      for (int j = 0; j < 3; j++)
      {
        m_Direction[i][j] = (double)list.directionMatrix[i * 3 + j];
      }
    }
  }
  resampler->SetOutputSpacing(m_Spacing);
  resampler->SetSize(m_Size);
  resampler->SetOutputOrigin(m_Origin);
  resampler->SetOutputDirection(m_Direction);
  resampler->SetDefaultPixelValue(static_cast<typename ImageType::PixelType>(list.defaultPixelValue));
}

// typedef to avoid a compilation issue with VS7
typedef itk::Transform<double, 3, 3>::Pointer Transform3DPointer;
// Compute the inverse transform
Transform3DPointer InverseTransform(const Transform3DPointer& transform)
{
  itk::Transform<double, 3, 3>::Pointer inverseTransform;
  typedef itk::AffineTransform<double, 3> AffineTransformType;
  typedef itk::MatrixOffsetTransformBase<double> RotationType;
  try
  {
    std::string transformClassName;
    if (transform.IsNotNull())
    {
      transformClassName = transform->GetNameOfClass();
    }
    if (transformClassName.find("AffineTransform") != std::string::npos) // Rotation around a selected point
    {
      AffineTransformType::Pointer affine = static_cast<AffineTransformType*>(transform.GetPointer());
      AffineTransformType::Pointer affinetemp = AffineTransformType::New();
      affine->GetInverse(affinetemp);
      inverseTransform = affinetemp;
    }
    else
    {
      if (transformClassName == "MatrixOffsetTransformBase" ||  //
          transformClassName == "Rigid3DTransform" ||           //
          transformClassName == "Euler3DTransform" ||           //
          transformClassName == "CenteredEuler3DTransform" ||   //
          transformClassName == "QuaternionRigidTransform" ||   //
          transformClassName == "VersorTransform" ||            //
          transformClassName == "VersorRigid3DTransform" ||     //
          transformClassName == "ScaleSkewVersor3DTransform" || //
          transformClassName == "ScaleVersor3DTransform" ||     //
          transformClassName == "Similarity3DTransform" ||      //
          transformClassName == "ScaleTransform" ||             //
          transformClassName == "ScaleLogarithmicTransform")    // if rotation transform
      {
        RotationType::Pointer rigid = static_cast<RotationType*>(transform.GetPointer());
        RotationType::Pointer rigidtemp = RotationType::New();
        rigid->GetInverse(rigidtemp);
        inverseTransform = rigidtemp;
      }
      else
      {
        inverseTransform = nullptr;
      }
    }
  }
  catch (...)
  {
    std::cerr << "Exception Detected" << std::endl;
    inverseTransform = nullptr;
  }
  return inverseTransform;
}

// Read Measurement Frame and set it to identity if inverseTransform is not nullptr
itk::Matrix<double, 3, 3> ReadMeasurementFrame(itk::MetaDataDictionary& dico, const Transform3DPointer& inverseTransform)
{
  itk::Matrix<double, 3, 3> measurementFrame;
  typedef std::vector<std::vector<double>> DoubleVectorType;
  typedef itk::MetaDataObject<DoubleVectorType> MetaDataDoubleVectorType;
  itk::MetaDataDictionary::ConstIterator itr = dico.Begin();
  itk::MetaDataDictionary::ConstIterator end = dico.End();
  // We look for the measurement frame in the metadatadictionary
  while (itr != end)
  {
    itk::MetaDataObjectBase::Pointer entry = itr->second;
    MetaDataDoubleVectorType::Pointer entryvalue = dynamic_cast<MetaDataDoubleVectorType*>(entry.GetPointer());
    if (entryvalue)
    {
      int pos = itr->first.find("NRRD_measurement frame");
      if (pos != -1)
      {
        DoubleVectorType tagvalue = entryvalue->GetMetaDataObjectValue();
        for (int i = 0; i < 3; i++)
        {
          for (int j = 0; j < 3; j++)
          {
            // we copy the measurement frame
            measurementFrame[i][j] = tagvalue.at(j).at(i);
            tagvalue.at(j).at(i) = (i == j ? 1 : 0);
          }
        }
        // if the transform is invertible, we set the measurement frame to the identity matrix
        // because we are going to apply this measurement frame to the gradient vectors before transforming them
        if (inverseTransform)
        {
          entryvalue->SetMetaDataObjectValue(tagvalue);
        }
      }
    }
    ++itr;
  }

  return measurementFrame;
}

// Transform the gradient vectors
int TransformGradients(itk::MetaDataDictionary& dico, const Transform3DPointer& inverseTransform, const itk::Matrix<double, 3, 3>& measurementFrame)
{
  typedef itk::MetaDataObject<std::string> MetaDataStringType;
  itk::MetaDataDictionary::ConstIterator itr = dico.Begin();
  itk::MetaDataDictionary::ConstIterator end = dico.End();
  bool dtmri = false;
  while (itr != end)
  {
    itk::MetaDataObjectBase::Pointer entry = itr->second;
    MetaDataStringType::Pointer entryvalue = dynamic_cast<MetaDataStringType*>(entry.GetPointer());
    if (entryvalue)
    {
      // get the gradient directions
      int pos = itr->first.find("DWMRI_gradient");
      if (pos != -1)
      {
        dtmri = true;
        if (inverseTransform)
        {
          std::string tagvalue = entryvalue->GetMetaDataObjectValue();
          itk::Vector<double, 3> vec;
          itk::Vector<double, 3> transformedVector;
          std::istringstream iss(tagvalue);
          iss >> vec[0] >> vec[1] >> vec[2]; // we copy the metavalue in an itk::vector
          if (iss.fail())
          {
            iss.str(tagvalue);
            iss.clear();
            std::string trash;
            iss >> vec[0] >> trash >> vec[1] >> trash >> vec[2]; // in case the separator between the values is
                                                                 // something else than spaces
            if (iss.fail())                                      // problem reading the gradient values
            {
              std::cerr << "Error reading a DWMRI gradient value" << std::endl;
            }
          }
          // gradient null
          if (vec.GetNorm() <= .00001)
          {
            transformedVector = vec;
          }
          else
          {
            // We transform the gradient vector with the measurement frame and then apply the inverse transform
            transformedVector = inverseTransform->TransformVector(measurementFrame * vec);
          }
          std::ostringstream oss;
          // write the new gradient values (after transformation) in the metadatadictionary
          oss << transformedVector[0] << "  " << transformedVector[1] << "  " << transformedVector[2];
          entryvalue->SetMetaDataObjectValue(oss.str());
        }
        else // if the image is a DWMRI we exit the loop
        {
          break;
        }
      }
    }
    ++itr;
  }

  // print an error message if the transform is not invertible and if the image is a DWMRI
  if (!inverseTransform && dtmri)
  {
    std::cerr << "The gradient transformation is not handle correctly with the current \
                    transformation.\nThe gradient direction of the output image is probably wrong"
              << std::endl;
    return 1;
  }
  return 0;
}

int CheckDWMRI(itk::MetaDataDictionary& dico, const Transform3DPointer& transform)
{
  // Inverse the transform if possible
  itk::Transform<double, 3, 3>::Pointer inverseTransform;
  inverseTransform = InverseTransform(transform);
  // if the transform is not invertible, we continue to see if the image is a DWMRI
  itk::Matrix<double, 3, 3> measurementFrame;
  measurementFrame = ReadMeasurementFrame(dico, inverseTransform);
  // even if the transform is not invertible, we still go through the metadatadictionary to check if the image is a
  // DWMRI
  // if the image is not, everything is fine. If the image is, we print an error message. The gradient direction of the
  // transform image is not going to be correct
  if (!TransformGradients(dico, inverseTransform, measurementFrame))
  {
    return 0;
  }
  else
  {
    return 1;
  }
}

template <class ImageType>
void RASLPS(typename ImageType::Pointer image)
{
  typename ImageType::PointType m_Origin;
  typename ImageType::DirectionType m_Direction;
  m_Origin = image->GetOrigin();
  m_Direction = image->GetDirection();
  m_Origin[0] = -m_Origin[0];
  m_Origin[1] = -m_Origin[1];
  itk::Matrix<double, 3, 3> ras;
  ras.SetIdentity();
  ras[0][0] = -1;
  ras[1][1] = -1;
  m_Direction = ras * m_Direction;
  image->SetOrigin(m_Origin);
  image->SetDirection(m_Direction);
}

// Check the selected interpolator. Creates and returns an object of that type
template <class ImageType>
typename itk::InterpolateImageFunction<ImageType, double>::Pointer SetInterpolator(const parameters& list)
{
  typedef itk::ConstantBoundaryCondition<ImageType> BoundaryCondition;
  typedef itk::InterpolateImageFunction<ImageType, double> InterpolatorType;
  typedef itk::NearestNeighborInterpolateImageFunction<ImageType, double> NearestNeighborInterpolateType;
  typedef itk::LinearInterpolateImageFunction<ImageType, double> LinearInterpolateType;
  typedef itk::BSplineInterpolateImageFunction<ImageType, double, double> BSplineInterpolateFunction;
  typename InterpolatorType::Pointer interpol;
  if (!list.interpolationType.compare("linear"))
  {
    typename LinearInterpolateType::Pointer linearinterpolator = LinearInterpolateType::New();
    interpol = linearinterpolator;
  }
  else if (!list.interpolationType.compare("nn"))
  {
    typename NearestNeighborInterpolateType::Pointer interpolator = NearestNeighborInterpolateType::New();
    interpol = interpolator;
  }
  else if (!list.interpolationType.compare("ws"))
  {
    if (!list.windowFunction.compare("h"))
    {
      typedef itk::Function::HammingWindowFunction<RADIUS> windowFunction;
      typedef itk::WindowedSincInterpolateImageFunction<ImageType, RADIUS, windowFunction, BoundaryCondition, double> WindowedSincInterpolateImageFunctionType;
      interpol = WindowedSincInterpolateImageFunctionType::New();
    }
    else if (!list.windowFunction.compare("c"))
    {
      typedef itk::Function::CosineWindowFunction<RADIUS> windowFunction;
      typedef itk::WindowedSincInterpolateImageFunction<ImageType, RADIUS, windowFunction, BoundaryCondition, double> WindowedSincInterpolateImageFunctionType;
      interpol = WindowedSincInterpolateImageFunctionType::New();
    }
    else if (!list.windowFunction.compare("w"))
    {
      typedef itk::Function::WelchWindowFunction<RADIUS> windowFunction;
      typedef itk::WindowedSincInterpolateImageFunction<ImageType, RADIUS, windowFunction, BoundaryCondition, double> WindowedSincInterpolateImageFunctionType;
      interpol = WindowedSincInterpolateImageFunctionType::New();
    }
    else if (!list.windowFunction.compare("l"))
    {
      typedef itk::Function::LanczosWindowFunction<RADIUS> windowFunction;
      typedef itk::WindowedSincInterpolateImageFunction<ImageType, RADIUS, windowFunction, BoundaryCondition, double> WindowedSincInterpolateImageFunctionType;
      interpol = WindowedSincInterpolateImageFunctionType::New();
    }
    else if (!list.windowFunction.compare("b"))
    {
      typedef itk::Function::BlackmanWindowFunction<RADIUS> windowFunction;
      typedef itk::WindowedSincInterpolateImageFunction<ImageType, RADIUS, windowFunction, BoundaryCondition, double> WindowedSincInterpolateImageFunctionType;
      interpol = WindowedSincInterpolateImageFunctionType::New();
    }
  }
  else if (!list.interpolationType.compare("bs"))
  {
    typename BSplineInterpolateFunction::Pointer bSplineInterpolator = BSplineInterpolateFunction::New();
    bSplineInterpolator->SetSplineOrder(list.splineOrder);
    interpol = bSplineInterpolator;
  }
  return interpol;
}

template <class PixelType>
int Rotate(parameters& list)
{
  typedef itk::Image<PixelType, 3> ImageType;
  typedef itk::InterpolateImageFunction<ImageType, double> InterpolatorType;
  typedef itk::ResampleImageFilter<ImageType, ImageType> ResampleType;
  typedef itk::Transform<double, 3, 3> TransformType;
  typedef itk::VectorImage<PixelType, 3> VectorImageType;
  typename ImageType::Pointer image;
  std::vector<typename ImageType::Pointer> vectorOfImage;
  itk::MetaDataDictionary dico;
  try
  {
    // open image file
    typename itk::ImageFileReader<VectorImageType>::Pointer reader;
    reader = itk::ImageFileReader<VectorImageType>::New();
    reader->SetFileName(list.inputVolume.c_str());
    reader->Update();
    if (list.space) // && list.transformationFile.compare( "" ))
    {
      RASLPS<VectorImageType>(reader->GetOutput());
    }
    // Save metadata dictionary
    dico = reader->GetOutput()->GetMetaDataDictionary();
    // Separate the vector image into a vector of images
    SeparateImages<PixelType>(reader->GetOutput(), vectorOfImage);
  }
  catch (itk::ExceptionObject& exception)
  {
    std::cerr << exception << std::endl;
    return EXIT_FAILURE;
  }
  // Set interpolator
  typename InterpolatorType::Pointer interpol;
  interpol = SetInterpolator<ImageType>(list);
  // Create resampler and initialize its output parameters
  typename ResampleType::Pointer resample = ResampleType::New();
  SetOutputParameters<ImageType>(list, resample, vectorOfImage[0]);
  TransformType::Pointer transform;
  // Load transforms and compute a merged transform
  try
  {
    transform = SetAllTransform<ImageType>(list, resample, vectorOfImage[0]);
  }
  catch (itk::ExceptionObject& exception)
  {
    std::cerr << exception << std::endl;
    return EXIT_FAILURE;
  }
  if (!transform)
  {
    return EXIT_FAILURE;
  }
  resample->SetTransform(transform);
  resample->SetInterpolator(interpol);
  std::vector<typename ImageType::Pointer> vectorOutputImage;
  // Resample all the images separately
  for (::size_t idx = 0; idx < vectorOfImage.size(); idx++)
  {
    resample->SetInput(vectorOfImage[idx]);
    resample->Update();
    vectorOutputImage.push_back(resample->GetOutput());
    vectorOutputImage[idx]->DisconnectPipeline();
  }
  typename itk::VectorImage<PixelType, 3>::Pointer outputImage;
  outputImage = itk::VectorImage<PixelType, 3>::New();
  AddImage<PixelType>(outputImage, vectorOutputImage);
  vectorOutputImage.clear();
  // If necessary, transform gradient vectors with the loaded transformations
  int dwmriProblem = CheckDWMRI(dico, transform);
  if (list.space) // && list.transformationFile.compare( "" ))
  {
    RASLPS<VectorImageType>(outputImage);
  }
  outputImage->SetMetaDataDictionary(dico);
  // Save transformed image
  typedef itk::ImageFileWriter<VectorImageType> WriterType;
  try
  {
    typename WriterType::Pointer writer = WriterType::New();
    writer->SetInput(outputImage);
    writer->SetFileName(list.outputVolume.c_str());
    writer->Update();
  }
  catch (itk::ExceptionObject& exception)
  {
    std::cerr << exception << std::endl;
    return EXIT_FAILURE;
  }
  // If there was a problem while computing the transformed dwmri, exits with an error
  if (dwmriProblem)
  {
    return EXIT_FAILURE;
  }
  return EXIT_SUCCESS;
}

} // end of anonymous namespace

int main(int argc, char* argv[])
{
  PARSE_ARGS;
  parameters list;
  list.numberOfThread = numberOfThread;
  list.interpolationType = interpolationType;
  list.transformType = transformType;
  list.transformMatrix = transformMatrix;
  list.inputVolume = inputVolume;
  list.referenceVolume = referenceVolume;
  list.outputVolume = outputVolume;
  list.rotationPoint = rotationPoint;
  list.transformationFile = transformationFile;
  list.inverseITKTransformation = inverseITKTransformation;
  list.windowFunction = windowFunction;
  list.splineOrder = splineOrder;
  list.space = space;
  list.centeredTransform = centeredTransform;
  list.outputImageSpacing = outputImageSpacing;
  list.outputImageSize = outputImageSize;
  list.outputImageOrigin = outputImageOrigin;
  list.directionMatrix = directionMatrix;
  list.deffield = deffield;
  list.typeOfField = typeOfField;
  list.defaultPixelValue = defaultPixelValue;
  list.imageCenter = imageCenter;
  list.transformsOrder = transformsOrder;
  list.notbulk = notbulk;
  // verify if all the vector parameters have the good length
  if (list.outputImageSpacing.size() != 3 || list.outputImageSize.size() != 3 //
      || (list.outputImageOrigin.size() != 3                                  //
          && list.outputImageOrigin.size() != 0)                              //
      || list.directionMatrix.size() != 9 || rotationPoint.size() != 3        //
      || list.transformMatrix.size() != 12)
  {
    std::cerr << "Argument(s) having wrong size" << std::endl;
    return EXIT_FAILURE;
  }

  // Thin-plate spline transform is not registered in transform factory by default in recent
  // ITK versions, so we need to register it manually.
  typedef itk::ThinPlateSplineKernelTransform<float, 3> ThinPlateSplineTransformFloatType;
  typedef itk::ThinPlateSplineKernelTransform<double, 3> ThinPlateSplineTransformDoubleType;
  itk::TransformFactory<ThinPlateSplineTransformFloatType>::RegisterTransform();
  itk::TransformFactory<ThinPlateSplineTransformDoubleType>::RegisterTransform();

  itk::IOPixelEnum pixelType;
  itk::IOComponentEnum componentType;
  GetImageType(list.inputVolume, pixelType, componentType);

  // templated over the input image voxel type
  switch (componentType)
  {
    case itk::IOComponentEnum::UCHAR: return Rotate<unsigned char>(list); break;
    case itk::IOComponentEnum::CHAR: return Rotate<char>(list); break;
    case itk::IOComponentEnum::USHORT: return Rotate<unsigned short>(list); break;
    case itk::IOComponentEnum::SHORT: return Rotate<short>(list); break;
    case itk::IOComponentEnum::UINT: return Rotate<unsigned int>(list); break;
    case itk::IOComponentEnum::INT: return Rotate<int>(list); break;
    case itk::IOComponentEnum::ULONG: return Rotate<unsigned long>(list); break;
    case itk::IOComponentEnum::LONG: return Rotate<long>(list); break;
    case itk::IOComponentEnum::FLOAT: return Rotate<float>(list); break;
    case itk::IOComponentEnum::DOUBLE: return Rotate<double>(list); break;
    case itk::IOComponentEnum::UNKNOWNCOMPONENTTYPE:
    default: std::cerr << "unknown component type" << std::endl; break;
  }
  return EXIT_FAILURE;
}
